Cisco Intersight provides comprehensive infrastructure monitoring that extends beyond conventional CPU and memory health reporting to AI accelerator visibility and performance telemetry . Cisco's current Intersight material specifically highlights GPU performance visibility, resource-utilization trends, power consumption, device health, and Metrics Explorer as important capabilities for managing AI-ready infrastructure.
This makes option D the only answer that addresses all three requirements: direct GPU visibility, detection of resource bottlenecks, and overall compute health. Monitoring GPU utilization, memory consumption, power, and associated platform telemetry allows operators to determine whether an AI workload is constrained by the GPU itself or by supporting compute, memory, networking, storage, or thermal infrastructure.
Option A incorrectly characterizes an Intersight Analyze capability as an AI container and Kubernetes deployment engine. Option B identifies valuable complementary network telemetry through Nexus Dashboard, but the question asks specifically for the most critical Intersight capability for monitoring GPU-centric UCS infrastructure. Option C is contradicted by current Cisco capabilities because Intersight provides AI-accelerator and GPU-performance visibility rather than being restricted to basic CPU and memory telemetry.
Study Guide Reference: AI Infrastructure Operations and Troubleshooting — Cisco Intersight health monitoring, GPU telemetry, resource utilization, bottleneck identification, and AI infrastructure optimization.
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